Unified Scheduling for Predictable Communication Reliability in Industrial Cellular Networks

Unified Scheduling for Predictable Communication Reliability in Industrial Cellular Networks
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DOI:
10.1109/icii.2018.00022
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发表时间:
2018-10
期刊:
2018 IEEE International Conference on Industrial Internet (ICII)
影响因子:
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通讯作者:
Yuwei Xie;Hongwei Zhang;Pengfei Ren
Yuwei Xie;Hongwei Zhang;Pengfei Ren
中科院分区:
其他
文献类型:
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作者:
Yuwei Xie;Hongwei Zhang;Pengfei Ren

文献摘要

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具有D2D链路的蜂窝网络越来越多地被用于任务关键型应用,因此以可预测的方式控制并发传输之间的干扰以确保所需的通信可靠性至关重要。为此,我们提出了一种统一蜂窝调度框架,该框架基于物理比K(PRK)干扰模型,以统一的方式调度上行链路、下行链路和D2D传输,以确保可预测的通信可靠性,同时最大化信道空间重用。UCS还提供了一种简单、有效的模式选择方法,可最大限度地提高每个相关通信对的通信容量。UCS有效地使用多个信道来实现高吞吐量以及对信道衰落和外部干扰的恢复能力。利用基站(BSE)的可用性以及BSE之间的高速带外连接,UCS有效地协调了BSE和用户设备(UE)的功能,以实现轻量级控制信令,并易于增量部署和与现有蜂窝标准集成。我们使用开源的、符合标准的蜂窝网络平台OpenAir接口实施了UCS。我们已经使用USRP B210软件定义的无线电和实验室部署验证了OpenAirInterface实施。我们还通过高保真、大规模的模拟研究评估了UCS。实验表明,与现有机制相比,该机制在保证可预测的通信可靠性的同时,获得了更高的信道空间重用率。此外,分布式UCS框架实现了与最先进的集中式调度算法iOrder在统计上相等的信道空间重用率。
Cellular networks with D2D links are increasingly being explored for mission-critical applications, and it is critical to control interference among concurrent transmissions in a predictable manner to ensure the required communication reliability. To this end, we propose a Unified Cellular Scheduling (UCS) framework that, based on the Physical-Ratio-K (PRK) interference model, schedules uplink, downlink, and D2D transmissions in a unified manner to ensure predictable communication reliability while maximizing channel spatial reuse. UCS also provides a simple, effective approach to mode selection that maximizes the communication capacity for each involved communication pair. UCS effectively uses multiple channels for high throughput as well as resilience to channel fading and external interference. Leveraging the availability of base stations (BSes) as well as highspeed, out-of-band connectivity between BSes, UCS effectively orchestrates the functionalities of BSes and user equipment (UE) for light-weight control signaling and ease of incremental deployment and integration with existing cellular standards. We have implemented UCS using the open-source, standardscompliant cellular networking platform OpenAirInterface. We have validated the OpenAirInterface implementation using USRP B210 software-defined radios and lab deployment. We have also evaluated UCS through high-fidelity, at-scale simulation studies. Our experiments show that UCS ensures predictable communication reliability while achieving a higher channel spatial reuse rate than existing mechanisms. Additionally, the distributed UCS framework enables a channel spatial reuse rate statistically equal to that in the state-of-the-art centralized scheduling algorithm iOrder.